Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Independent component analysis for auditory evoked potentials and cochlear implant artifact estimation

Tools
- Tools
+ Tools

Castañeda-Villa, N. and James, Christopher J. (2011) Independent component analysis for auditory evoked potentials and cochlear implant artifact estimation. IEEE Transactions on Biomedical Engineering, Vol.58 (No.2). pp. 348-354. doi:10.1109/TBME.2010.2072957 ISSN 0018-9294.

Research output not available from this repository.

Request-a-Copy directly from author or use local Library Get it For Me service.

Official URL: http://dx.doi.org/10.1109/TBME.2010.2072957

Request Changes to record.

Abstract

Auditory evoked potential (AEP) recordings have been analyzed through independent component analysis (ICA) in the literature; however, the performance varies depending on the ICA algorithms used. There are very few studies that concentrate on the optimum parameter selection for estimating the AEP components reliably, while also recovering the specific artifact generated with the normal functioning of a cochlear implant (CI). The objective of this research is to determine which ICA algorithm, high-order statistics (HOS)-based or second-order statistic (SOS)-based, is more plausible to remove this artifact and estimate the AEP. The optimal parameters of three such ICA algorithms for estimating the components from a database of recordings were determined, and then the estimates for the AEP and CI artifact were compared using each method. All the algorithms estimate the CI artifact reasonably well, although only one SOS algorithm is better positioned to estimate the AEP; this is primarily because it uses the temporal structure of this signal as part of the ICA process.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
R Medicine > RF Otorhinolaryngology
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Audiometry, Evoked response, Cochlear implants, Independent component analysis
Journal or Publication Title: IEEE Transactions on Biomedical Engineering
Publisher: IEEE
ISSN: 0018-9294
Official Date: 2011
Dates:
DateEvent
2011Published
Volume: Vol.58
Number: No.2
Page Range: pp. 348-354
DOI: 10.1109/TBME.2010.2072957
Status: Peer Reviewed
Publication Status: Published
Funder: Programa de Mejoramiento del Profesorado (Mexico) (PROMEP), Universidad Autónoma Metropolitana. Unidad Iztapalapa (UAMI)
Grant number: PROMEP/103.5/06/2055 (PROMEP), 35062 (UAMI)

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us